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Activity Number: 71
Type: Contributed
Date/Time: Sunday, July 29, 2007 : 4:00 PM to 5:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #309693
Title: An Empirical Evaluation of Various Direct, Synthetic, and Traditional Composite Small-Area Estimators
Author(s): William Chen*+ and Kimberly A. Henry and Michael Strudler
Companies: Internal Revenue Service and Internal Revenue Service and Internal Revenue Service
Address: PO Box 2608, Washington, DC, 20013,
Keywords: General Regression Estimator ; Indirect Estimators ; Survey Sampling
Abstract:

Currently, the Statistics of Income (SOI) Division of the Internal Revenue Service uses the Individual Masterfile (IMF), administrative data for the population of Form 1040 tax returns, to produce totals of various tax return variables at the state level. Previous research based on the SOI's Form 1040 sample, a large national sample of cleaned administrative tax records, suggests that the IRS data is subject to various kinds of errors, which has lead to alternative approaches. This paper compares alternative direct, synthetic, and traditional composite estimators of state-level estimates of several variables' totals and evaluates the alternatives using various robust criteria.

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Revised September, 2007